Evidence map›Paper›PMID 32334597›Full record

ArticleBMC medical ethics2020

Community perspectives on the benefits and risks of technologically enhanced communicable disease surveillance systems: a report on four community juries.

Chris Degeling, Stacy M Carter, Antoine M van Oijen, Jeremy McAnulty, Vitali Sintchenko, Annette Braunack-Mayer, Trent Yarwood, Jane Johnson, Gwendolyn L Gilbert

Open access · goldAbstract read
In one paragraph

Article in BMC medical ethics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. Public values to guide childhood vaccination mandates: A report on four Australian community juries.Health expectations : an international journal of public participation in health care and health policy · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 1 country.

Chris DegelingAustralian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, Australia. degeling@uow.edu.au.ORCID 0000-0003-4279-3443
Stacy M CarterAustralian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, Australia.
Antoine M van OijenMolecular Horizons and the Illawarra Health and Medical Research Institute, University of Wollongong, Wollongong, Australia.
Jeremy McAnultyHealth Protection NSW Health, Sydney, Australia.
Vitali SintchenkoThe Centre for Infectious Diseases and Microbiology - Public Health, Westmead, Sydney, Australia.
Annette Braunack-MayerAustralian Centre for Health Engagement, Evidence and Values, University of Wollongong, Wollongong, Australia.
Trent YarwoodCairns and Hinterland Hospital and Health Service, Cairns, Australia.
Jane JohnsonThe Centre for Infectious Diseases and Microbiology - Public Health, Westmead, Sydney, Australia.
Gwendolyn L GilbertThe Centre for Infectious Diseases and Microbiology - Public Health, Westmead, Sydney, Australia.
University of Wollongong · AUThe University of Sydney · AUNew South Wales Department of Health · AUTaronga Conservation Society Australia · AUThe University of Queensland · AU

Funding

National Health and Medical Research Council 1102962National Health and Medical Research Council (AU) 1083079
6 · The paper itself

Abstract

backgroundOutbreaks of infectious disease cause serious and costly health and social problems. Two new technologies - pathogen whole genome sequencing (WGS) and Big Data analytics - promise to improve our capacity to detect and control outbreaks earlier, saving lives and resources. However, routinely using these technologies to capture more detailed and specific personal information could be perceived as intrusive and a threat to privacy.

methodFour community juries were convened in two demographically different Sydney municipalities and two regional cities in New South Wales, Australia (western Sydney, Wollongong, Tamworth, eastern Sydney) to elicit the views of well-informed community members on the acceptability and legitimacy of: making pathogen WGS and linked administrative data available for public health researchusing this information in concert with data linkage and machine learning to enhance communicable disease surveillance systems Fifty participants of diverse backgrounds, mixed genders and ages were recruited by random-digit-dialling and topic-blinded social-media advertising. Each jury was presented with balanced factual evidence supporting different expert perspectives on the potential benefits and costs of technologically enhanced public health research and communicable disease surveillance and given the opportunity to question experts.

resultsAlmost all jurors supported data linkage and WGS on routinely collected patient isolates for the purposes of public health research, provided standard de-identification practices were applied. However, allowing this information to be operationalised as a syndromic surveillance system was highly contentious with three juries voting in favour, and one against by narrow margins. For those in favour, support depended on several conditions related to system oversight and security being met. Those against were concerned about loss of privacy and did not trust Australian governments to run secure and effective systems.

conclusionsParticipants across all four events strongly supported the introduction of data linkage and pathogenomics to public health research under current research governance structures. Combining pathogen WGS with event-based data surveillance systems, however, is likely to be controversial because of a lack of public trust, even when the potential public health benefits are clear. Any suggestion of private sector involvement or commercialisation of WGS or surveillance data was unanimously rejected.

Indexed as

Communicable DiseasesAustraliaFemaleHumansMaleNew South WalesRisk AssessmentTrustData-linkageInfectious diseasePathogenomicsPublic deliberationPublic health surveillanceSocial licence

Identifiers

PMID32334597
PMCPMC7183724
OpenAlexW3019170631

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.